Filtering, Smoothing, and Extrapolations in Dose-Response Experiments: With Application to Data on Respiratory Tumor in Rats.

Abstract

A method for inference and extrapolations in certain dose- response. damage-assessments and accelerated life-testing studies as been proposed by Meinhold and Singpurwalla in 1986. The method is based on a use of the Kalman-filter algorithm and involves the double lognormal as the distributional assumption. In this paper we discuss issues pertaining to a practical implementation of this methodology. This involves some insights based on a simulation study about the specification of prior parameters and an application of the proposed methodology to some published data on doses of bischloromethyl ether administered to rats.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA293968

Entities

People

  • Jingxian Chen
  • Nozer D. Sinpurwalla

Organizations

  • George Washington University

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accelerated Testing
  • Air Force
  • Algorithms
  • Clinical Trials
  • Computations
  • Computers
  • Equations
  • Failure Mode And Effect Analysis
  • Filters
  • Filtration
  • Kalman Filters
  • Military Research
  • Nuclear Explosions
  • Personal Computers
  • Specialists
  • Standards
  • Uncertainty

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Cardiovascular Physiology
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms